SEI: Cardiovascular Informatics

SEI：心血管信息学

• 批准号: 0431144
• 负责人: Ioannis Kakadiaris
• 金额: $ 56.64万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0431144&HistoricalAwards=false
• 关键词: SEI; Cardiovascular; Informatics

Sudden heart attacks remain the leading cause of death in the US. Heart attacks are caused by complications of "vulnerable plaques." The discovery of vulnerable plaques has recently evolved into the definition of the "vulnerable patient" (VP). A VP is defined as a person with a high likelihood of developing a heart attack in the near future. Since the majority of sudden cardiac deaths occur in people with no prior symptoms, there is an urgent need for computational tools to assist in screening for the conditions that underlie sudden cardiac events. This project is developing the theoretical framework and computational tools for the mining of information from CT and intravascular ultrasound (IVUS) imaging for the detection of VPs. The specific objectives are to: (1) develop new denoising algorithms; (2) develop a new medical image segmentation framework; (3) develop new enhancement quantification techniques; and (4) apply these techniques and evaluate their performance to the problems of CT and IVUS-based detection of VPs. The project's collaborating cardiovascular specialists at the Association for the Eradication of Heart Attack believe that such methods hold the potential to contribute to the development of a quantitative method for early detection and intervention to improve outcomes and increase survival.A new course on Cardiovascular Informatics offered at the undergraduate and graduate levels will allow the integration of this research into education. Outreach materials will be created in collaboration with the Pearland (TX) Independent School District, the Houston Area Technology Advancement Center, and the Houston Museum of Natural Science.

突发心脏病仍然是美国人死亡的主要原因。心脏病发作是由“易损斑块”的并发症引起的。易损斑块的发现最近演变为“易损患者”（VP）的定义。VP被定义为在不久的将来很有可能发生心脏病发作的人。由于大多数心脏性猝死发生在没有既往症状的人群中，因此迫切需要计算工具来帮助筛查突发心脏事件的基础条件。该项目正在开发理论框架和计算工具，用于从CT和血管内超声（IVUS）成像中挖掘信息，以检测VP。具体目标是：（1）开发新的去噪算法;（2）开发新的医学图像分割框架;（3）开发新的增强量化技术;以及（4）将这些技术应用于基于CT和IVUS的VP检测问题并评估其性能。该项目的心血管专家在根除心脏病发作协会的合作认为，这种方法有可能有助于早期检测和干预的定量方法的发展，以改善结果和提高生存率。在本科生和研究生水平提供的心血管信息学新课程将允许将这项研究纳入教育。外展材料将与Pearland（TX）独立学区，休斯顿地区技术进步中心和休斯顿自然科学博物馆合作创建。